The Cryosphere
The Cryosphere
TC
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/tc-16-237-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-237-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Research article
 | 
24 Jan 2022
Research article |  | 24 Jan 2022

Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity

Wenkai Guo, Polona Itkin, Johannes Lohse, Malin Johansson, and Anthony Paul Doulgeris

Viewed

Total article views: 1,687 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,106 540 41 1,687 25 25
  • HTML: 1,106
  • PDF: 540
  • XML: 41
  • Total: 1,687
  • BibTeX: 25
  • EndNote: 25
Views and downloads (calculated since 26 Apr 2021)
Cumulative views and downloads (calculated since 26 Apr 2021)

Viewed (geographical distribution)

Total article views: 1,687 (including HTML, PDF, and XML) Thereof 1,611 with geography defined and 76 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Mar 2023
Download
Short summary
This study uses radar satellite data categorized into different sea ice types to detect ice deformation, which is significant for climate science and ship navigation. For this, we examine radar signal differences of sea ice between two similar satellite sensors and show an optimal way to apply categorization methods across sensors, so more data can be used for this purpose. This study provides a basis for future reliable and constant detection of ice deformation remotely through satellite data.
Read more